LENOVO 21QESIT004
Geekbench ML Score
5239
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | March 27 2025 06:12 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21QESIT004 |
| Motherboard | LENOVO 21QESIT004 |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 265H |
| Topology | 1 Processor, 16 Cores |
| Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| L1 Instruction Cache | 64.0 KB x 8 |
| L1 Data Cache | 48.0 KB x 8 |
| L2 Cache | 3.00 MB x 2 |
| L3 Cache | 24.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) 140T GPU (8GB) |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3942
737.7 IPS |
|
|
Image Classification (F16)
|
100% |
3923
734.1 IPS |
|
|
Image Classification (I8)
|
99% |
3098
579.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
3139
52.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
3133
52.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
2424
40.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
20802
25.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
21951
26.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
17257
20.9 IPS |
|
|
Object Detection (F32)
|
100% |
3430
256.0 IPS |
|
|
Object Detection (F16)
|
100% |
3100
231.5 IPS |
|
|
Object Detection (I8)
|
60% |
2678
199.9 IPS |
|
|
Face Detection (F32)
|
100% |
5225
62.1 IPS |
|
|
Face Detection (F16)
|
100% |
5131
61.0 IPS |
|
|
Face Detection (I8)
|
88% |
3508
41.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
14626
113.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
14180
110.0 IPS |
|
|
Depth Estimation (I8)
|
95% |
11026
85.5 IPS |
|
|
Style Transfer (F32)
|
100% |
52146
68.6 IPS |
|
|
Style Transfer (F16)
|
100% |
50612
66.6 IPS |
|
|
Style Transfer (I8)
|
98% |
37345
49.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7181
256.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
8640
308.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
5101
182.2 IPS |
|
|
Text Classification (F32)
|
90% |
880
1.27 KIPS |
|
|
Text Classification (F16)
|
90% |
861
1.24 KIPS |
|
|
Text Classification (I8)
|
90% |
645
927.1 IPS |
|
|
Machine Translation (F32)
|
100% |
1995
36.7 IPS |
|
|
Machine Translation (F16)
|
100% |
2015
37.1 IPS |
|
|
Machine Translation (I8)
|
70% |
1123
20.7 IPS |
